Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by looplj · Codex Skill · ★ 5.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is axonhub safe to install? View the security audit →
AxonHub - All-in-one AI Development Platform Use any SDK. Access any model. Zero code changes. English 日本語 ❤️ Sponsor Atlas Cloud is a full-modal AI inference platform that gives developers a single AI API to access video generation, image generation,
| Stars | 5,282 |
| Forks | 712 |
| Language | Go |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 61.180248191665/100 |
| Open Issues | 114 |
| Last Updated | 2026-09-23 |
| Created | 2025-09-09 |
| Platforms | claude-code, codex, gemini, go |
| Est. Tokens | ~20k |
Looking for a axonhub alternative? If you're comparing axonhub with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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axonhub is ⚡️ Open-source AI Gateway — Use any SDK to call 100+ LLMs. Built-in failover, load balancing, cost control & end-to-end tracing.. It is categorized as a Codex Skill with 5.3k GitHub stars.
axonhub is primarily written in Go. It covers topics such as agent, agents, ai.
You can find installation instructions and usage details in the axonhub GitHub repository at github.com/looplj/axonhub. The project has 5.3k stars and 712 forks, indicating an active community.
axonhub is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to axonhub on Agent Skills Hub include ai-guide, kiro-gateway, humanlayer. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: